Revolutionizing Demand Forecasting and its Enterprise Impact using Causal AI and Agents

Cisco’s use of Causal AI is revolutionizing its Demand Forecasting practice from Enterprise Business Entity Level forecasts to Regional and Sales Segment Level Forecasts to Product and SKU level forecasts, enabling better decisions in many areas of the enterprise. Our Supply Chain Global Planning teams are building trust and confidence by challenging the recency bias in current forecasting approaches and producing evidence-based insights that build trust and confidence.

Efficiently developing and scaling this practice to increase business relevance with stakeholders while improving model confidence and forecast accuracy, has seemed like a bridge too far. Could agentification be the answer?  This talk will bring out some of the real-world challenges facing Data Scientists in my team and where reliable agentification can provide the breakthroughs needed to turn a seemingly insurmountable challenge into a streamlined and scalable, insight-rich process that delivers higher quality models and drives tangible business outcomes.

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  Puneet Gupta Director, Data Science, Global Planning, Cisco